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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 348
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    INDEX
    Explanations

    words related to "motoring" or "velocity"

    oai_token-act-pair · gpt-3.5-turbo

    references to motor vehicles or machinery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marketable
    -0.84
     WARN
    -0.81
    Else
    -0.78
     Reserved
    -0.76
    pta
    -0.75
     Flavoring
    -0.74
    è£ħ
    -0.74
    ACTED
    -0.72
    ãĥ¤
    -0.70
    士
    -0.69
    POSITIVE LOGITS
     mot
    1.14
    ility
    0.98
    olit
    0.85
    sters
    0.84
    ory
    0.84
    bol
    0.82
    ster
    0.81
    uls
    0.80
    bed
    0.80
    oly
    0.78
    Activations Density 0.017%

    No Known Activations